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Enregistrement W7028996241

“I Had Everything Ready and I Didn’t Submit”: Immigrant Youth Navigating The College-Going Process

2024· other· en· W7028996241 sur OpenAlexaboutno aff

Notice bibliographique

RevueeScholarship (California Digital Library) · 2024
Typeother
Langueen
DomaineArts and Humanities
ThématiqueHistorical, Literary, and Cultural Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésImmigrationPopulationDiversity (politics)Quarter (Canadian coin)ConflationWork (physics)Variation (astronomy)Language proficiency
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Nearly 27 percent of California’s population are foreign-born and almost a quarter are undocumented. Yet, research is limited on mechanisms affecting immigrants’ college access. We know little about how informational resources (e.g., counselors, peers) support or constrain the college information seeking pursuits of immigrant youth who arrive to the United States (U.S.) before 18. Also less known is how immigrant youth navigate informational resources according to their needs, such as for DREAMer and DACA youth who are undocumented. One hypothesis suggests that access to higher education is related to different arrival ages and integration experiences. Yet much of prior work tends to conflate immigrant youth with 2ndGen (born in the United States to at least one immigrant parent) or combine this population into one category regardless of arrival age, reflecting dataset limitations that preclude disaggregation by arrival age. This practice contradicts theoretical and empirical work suggesting that older and younger arrivals have varied incorporation experiences, including language proficiency and educational attainment. This likely reflects arrival age differences reflecting how relative to childhood arrivals, older arrivals have less familiarity with the American education system. In relation to pursing the college-going path, this implies that older arrivals have less familiarity with the college and financial aid application process. Immigrant youth with less familiarity may encounter more barriers than younger arriving youth. Moreover, the few existing studies on immigrant youth and college-going may exclude legal status or tend to examine a single immigrant group despite the diversity of immigrants in the U.S. Consequently, some of what we know, more precisely assume, about immigrant youth is potentially inaccurate due to data limitations. This dissertation draws on existing nationally representative data as well as a mixed-method approach, original survey and interviews, to address data and empirical research gaps.In the chapter one, using nationally representative data (HSLS), I examine whether there is an association between immigrant youth residing in immigrant-friendly policy states and college enrollment. I find that net of controls, students residing in immigrant-friendly policy states do not experience an increase in enrollment. In chapter two, drawing on interviews with immigrant youth across three higher education institutions in California (two universities and a community college serving large immigrant populations), I investigate how immigrant youth perceive informational resources, such as counselors and alumni, and what factors motivate their college-information search process. Findings illustrate four themes characterizing immigrant youths’ experiences in navigating the postsecondary path: (1) avoidance of counselors, (2) dual frame influence on postsecondary path choices, (3) the powerful role of villages nudges, and (4) “more approachable” connections with alumni. In chapter three, I draw on original survey data collection to examine descriptively the college-information seeking behaviors of immigrant youth across three higher education institutions. Findings shows that a smaller proportion of older arriving immigrant youth are satisfied with counselors’ guidance on college choice and financial aid. Additionally, a larger share of older arriving immigrant youth prefer to meet with counselors online only in contrast to younger arriving immigrant peers and US-born peers. I conclude with a discussion on the overall findings from this dissertation and suggestions for future directions.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Communication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,153
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0040,002
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,020
Tête enseignante GPT0,214
Écart entre enseignants0,194 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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